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Regularized total least squares approach for nonconvolutional linear inverse problems

Author
WENWU ZHU1 ; YAO WANG2 ; GALATSANOS, N. P3 ; JUN ZHANG4
[1] Bell Laboratories, Lucent Technologies, Murray Hill, NJ 07974-0636, United States
[2] Department of Electrical Engineering. Polytechnic University, Brooklyn, NY 11201, United States
[3] Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago, IL 60616, United States
[4] Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI 53201, United States
Source

IEEE transactions on image processing. 1999, Vol 8, Num 11, pp 1657-1661 ; ref : 19 ref

ISSN
1057-7149
Scientific domain
Telecommunications
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Imagerie médicale Modélisation Méthode moindre carré Problème inverse Reconstruction image Restauration image Résultat expérimental Simulation Tomographie Traitement image
Keyword (en)
Medical imagery Modeling Least squares method Inverse problem Image reconstruction Image restoration Experimental result Simulation Tomography Image processing
Keyword (es)
Imageneria medical Modelización Método cuadrado menor Problema inverso Reconstrucción imagen Restauración imagen Resultado experimental Simulación Tomografía Procesamiento imagen
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05C Image processing

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
1984831

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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